See the catalog sheet before you scope a pilot.
Produfoto turns product photos from secondhand and re-commerce inventory into an import-ready catalog sheet. Request a sample output to see the structure before processing your own stock.
What the sample shows
The sample is designed for operators who need to compare output quality, import shape, searchable database fields and review effort before committing inventory to a pilot.
| SKU | PF-10042 |
|---|---|
| Brand | Nike |
| Main product type | Shoes |
| Specific product type | Sneakers |
| Product model | Nike Air Max 90 |
| Size | EU 42 |
| Condition | Light signs of use |
| Main color | White |
| All colors | White / grey / black |
| Main material | Leather |
| All materials | Leather / mesh / rubber |
| Market price | Real-time estimate based on market location |
| Output format | Excel / CSV, direct webshop ingestion, or easy ingestion into a re-commerce app |
| Searchable database | Filter and search by SKU, brand, model, size, color, material, condition and price |
Why this matters for re-commerce
Faster listing for mixed-brand stock
Consistent fields for webshop import
Searchable product database for review and filtering
Structured data useful for ESPR/DPP preparation
Sample output FAQ
What is a Produfoto sample output?
A sample output is a non-sensitive example catalog sheet showing the fields Produfoto can generate from product photos. It helps re-commerce teams judge the output before starting a paid pilot.
Who should request a sample output?
Secondhand retailers, MRSP-like operators, thrift teams and re-commerce businesses with mixed-brand inventory should request a sample if manual cataloging slows listing speed.
What fields does Produfoto show in the sample?
The sample shows the 16 structured fields Produfoto currently produces, including brand, model, color, materials, size, condition, product type, audience, price and SKU.
Does the sample prove ESPR/DPP compliance?
No. The sample shows structured data useful for ESPR/DPP preparation. Exact compliance obligations depend on the company, product segment and regulation timeline.